Mohammed Khalilia
Mohammed Khalilia
In 2001, Mohammed Khalilia (Mohammed Abdul-Sattar Kassem) finished high school in Nablus and then I moved to the United States to start his Bachelor in Computer Science at the University of Missouri-Columbia. Then he started his PhD at the same university and in 2014 he earned PhD in Computer Science with focus on machine learning and health informatics.
From 2013 to 2014, Mohammed worked as a research analyst at the University of Missouri, School of Medicine. In 2014, he joined the Computational Science and Engineering at Georgia Institute of Technology (Georgia Tech) in Atlanta, Georgia, as a research scientist and in 2016 he joined Emory University as a postdoctoral fellow at the Biomedical Informatics department.
In 2017, Mohammed was recruited by Amazon as an applied scientist to work on health digital assistant. His research then focused on natural language processing in the clinical domain and he played an important role in releasing a new Amazon Web Service, Comprehend Medical, which works by extracting named entities from clinical text. Afterward, Mohammed moved to Amazon Studios and shifted his research into speech, signal processing and computer vision. In 2022, he joined Qualtrics and started working on conversational machine learning, search and ranking and active learning.
His first publication was in robotics, published in AAAI 2004, but then he authored in numerous peer-reviewed papers in venus including IEEE, American Medical Informatics Association (AMIA), Journal of the American Medical Informatics Association (JAMIA), Pattern Recognition and the Association for the Advancement of Artificial Intelligence (AAAI). He has also reviewed papers for IEEE Fuzzy Systems, AMIA, and Knowledge and Data Discovery (KDD).
Publications
Mustafa Jarrar, Mohammed Khalilia, Sana Ghanem, ”ArBanking77: Intent Detection Neural Model and a New Dataset in Modern and Dialectical Arabic,” Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP’22), 2022 (Submitted).
Sanad Malaysha, Mustafa Jarrar, Mohammed Khalilia, ”Context-Gloss Augmentation for Improving Arabic Target Sense Verification,” Global WordNet Conference, Donostia-San Sebastian, Spain, 2023.
Mustafa Jarrar, Mohammed Khalilia, Sana Ghanem, ”Wojood: Nested Arabic Named Entity Corpus and Recognition using BERT,” Proceedings of the 13th International Conference on Language Resources and Evaluation (LREC’22), 2022.
Parminder Bhatia, Busra Celikkaya, Mohammed Khalilia, Selvan Senthivel, ”Comprehend Medical: a Named Entity Recognition and Relationship Extraction Web Service,” 18th IEEE International Conference on Machine Learning and Applications, 2019.
P. Bhatia, B. Celikkaya, and M. Khalilia, ”Joint Entity Extraction and Assertion Detection for Clinical Text,” in Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Florence, Italy: Association for Computational Linguistics, 2019, pp. 954-959.
Mengqi Jin, Mohammad Taha Bahadori, Aaron Colak, Parminder Bhatia, Busra Celikkaya, Ram Bhakta, Selvan Senthivel, Mohammed Khalilia, Daniel Navarro, Borui Zhang, Tiberiu Doman, Arun Ravi, Matthieu Liger, Taha Kass-hout, ”Improving Hospital Mortality Prediction with Medical Named Entities and Multimodal Learning,” Neural Information Processing Systems (NIPS), 2018.
David A Gutman, Mohammed Khalilia, Sanghoon Lee, Michael Nalisnik, Zach Mullen, Jonathan Beezley, Deepak R Chittajallu, David Manthey, Lee AD Cooper, ”The Digital Slide Archive: A Software Platform for Management, Integration and Analysis of Histology for Cancer Research”, Cancer Research 2017. 77. e75-e78. 10.1158/0008-5472.CAN-17-0629.
Sheets L, Popejoy L, APRN G-B, Khalilia M, Petroski G, Parker JC. ”Identifying Patients at Risk of High Healthcare Utilization,” AMIA Annual Symposium Proceedings. 2016;2016:1129-1138.
Robert Chen, Hang Su, Yi Zhen, Mohammed A. Khalilia, Dan Hirsch, Michael Thompson, Tod Davis, Yue Peng, Sizhe Lin, Javier Tejedor, Elizabeth Searles, Jimeng Sun, ”Cloud-based Predictive Modeling System and its Application to Asthma Readmission Prediction,” AMIA Annual Symposium Proceedings 2015 (2015): 406-415.
Mohammed A. Khalilia, Myung Choi, Amelia Henderson, Sneha Iyengar, Mark Braunstein, Jimeng Sun, ”Clinical Predictive Modeling Development and Deployment through FHIR Web Services,” AMIA Annual Symposium Proceedings 2015 (2015): 717-726.
Lori Popejoy, Frank Stetzer, Lanis Hicks, Marilyn Rantz, Colleen Galambos, Mihail Popescu, Mohammed A. Khalilia, Karen Marek, ”Comparing Aging in Place to Home Health Care: Impact of Nurse Care Coordination on Utilization and Costs,” Nursing Economics, 2015.
Lori L. Popejoy, PhD, APRN, GNS-BC; Mohammed A. Khalilia; Mihail Popescu, PhD; Colleen Galambos, PhD, MSW; Vanessa Lyons; Marilyn Rantz, PhD, RN, FAAN; Lanis Hicks, PhD; Frank Stetzer, PhD, ”Quantifying Care Coordination using Natural Language Processing and Domain Specific Ontology,” Journal of the American Medical Informatics Association 2015;22(e1): e93-e103. [Republished in 2015 IMIA Yearbook of Medical Informatics]
Mohammed A. Khalilia and Mihail Popescu, ”Relational Fuzzy Relational Self-Organizing Maps for Cluster Visualization and Summarization,” International journal of uncertainty fuzziness and knowledge-based system, 2014.
Mohammed A. Khalilia, Mihail Popescu, James Keller. ”Patient Stratification based on Activity of Daily Living Score using Relational Self-Organizing Map”. IEEE Symposium for Computational Intelligence in Healthcare and e-health, Orlando, Florida, 2014.
Mohammed A. Khalilia, James Bezdek, Mihail Popescu, James Keller. ”Improved Relational Fuzzy c-Means”. Pattern Recognition, 2014.
Mohammed A. Khalilia and Mihail Popescu. ”Topology Preservation in Fuzzy Self-Organizing Maps”. Adv. Trends Soft Comput., 2014.
Mohammed A. Khalilia and Mihail Popescu, ”Fuzzy relational self-organizing maps,” in 2012 IEEE International Conference on Fuzzy Systems, 2012, pp. 1–6.
Mihail Popescu and Mohammed A. Khalilia, ”Improving Disease Prediction Using ICD-9 Ontological Features,” in IEEE International Conference On Fuzzy Systems, 2011, pp. 1805-1809.
Mohammed A, Khalilia, Sounak Chakraborty, Mihail Popescu, ”Predicting disease risks from highly imbalanced data using random forest.,” BMC medical informatics and decision making, vol. 11, no. 1, p. 51, Jan. 2011 (Highly accessed).
Liu, L., Mohammed A. Khalilia, Tan, H., Zhuang, P. (2009). ”Traffic pattern forecasting using time series analysis between spatially adjacent sensor clusters”. In 2009 International Conference on Machine Learning and Cybernetics (Vol. 6, pp. 3155–3160). IEEE. doi:10.1109/ICMLC.2009.5212708.
Marjorie Skubic, Derek Anderson, Mohammed A. Khalilia, and Kavirayani, S., 2004, A Sketch-Based Interface for Multi-Robot Formations, AAAI Mobile Robot Competition 2004: Papers from the AAAI Workshops, San Jose, CA, July.
Patents
Mohammed Khalilia, and Pragyana K. Mishra. ”Facial feature location-based audio frame replacement.” U.S. Patent No. 11,404,087. 2 Aug. 2022.
Gregory Johnson, Pragyana K. Mishra, Mohammed Khalilia, Wenbin Ouyang, Naveen Sudhakaran Nair. ”Video frame replacement based on auxiliary data.” U.S. Patent No. 11,368,652. 21 Jun. 2022.
Selvan Senthivel, Varun Varadarajan, Borui Zhang, Tiberiu Doman, Parminder Bhatia, Arun Ravi, Mohammed Khalilia, Busra Celikkaya. ”Service Architecture for Entity and Relationship Detection in Unstructured Text.” U.S. Patent No. 11,487,942. 01 Nov. 2022.
